



import argparse
import json

from tqdm import tqdm







def  lowerCAmelCase_	():





			"""simple docstring"""


			UpperCAmelCase_:		int							      =     argparse.ArgumentParser()

			# Required parameters
			parser.add_argument(
			    """--src_path"""		,						type=lowerCAmelCase__		,						default="""biencoder-nq-dev.json"""		,						help="""Path to raw DPR training data"""		,						)
			parser.add_argument(
			    """--evaluation_set"""		,						type=lowerCAmelCase__		,						help="""where to store parsed evaluation_set file"""		,						)
			parser.add_argument(
			    """--gold_data_path"""		,						type=lowerCAmelCase__		,						help="""where to store parsed gold_data_path file"""		,						)
			UpperCAmelCase_:		List[Any]							      =     parser.parse_args()

			with open(args.src_path		,						"""r"""  ) as src_file, open(args.evaluation_set		,						"""w"""  ) as eval_file, open(
			    args.gold_data_path		,						"""w"""  ) as gold_file:
						UpperCAmelCase_:		Any							      =     json.load(lowerCAmelCase__  )
						for dpr_record in tqdm(lowerCAmelCase__  ):
									UpperCAmelCase_:		Union[str, Any]							      =     dpr_record["""question"""]
									UpperCAmelCase_:		Dict							      =     [context["""title"""] for context in dpr_record["""positive_ctxs"""]]
									eval_file.write(question + """\n"""  )
									gold_file.write("""\t""".join(lowerCAmelCase__  ) + """\n"""  )


if __name__ == "__main__":
	main()











from typing import TYPE_CHECKING

from ...utils import _LazyModule


a      :  int			     =			{'tokenization_wav2vec2_phoneme': ['Wav2Vec2PhonemeCTCTokenizer']}


if TYPE_CHECKING:
	from .tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizer
else:
	import sys

	a      :  int			     =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






